Description
🖼️ Tool Name:
Neurons AI
🔖 Tool Category:
AI-powered neuromarketing & creative optimization; it falls under attention-prediction and pre-launch ad testing tools built on neuroscience.
✏️ What does this tool offer?
Neurons AI analyzes your ads, packaging, pages, and videos to predict what viewers will notice, how long they’ll look, and how clearly brand elements come across—then gives science-backed recommendations to improve performance before launch. It’s grounded in cognitive neuroscience with ML/AI models that generate instant heatmaps and creative insights.
⭐ What does the tool actually deliver based on user experience?
• Instant attention heatmaps and gaze-prediction for images & video (seconds/minutes)
• Metrics like Time Spent, % Seen, audience reach & brand attention, plus a single Neurons Impact Score (NIS) for creative quality
• Actionable creative recommendations (text & visual cues) to increase clarity and conversions
• Science-based methodology & knowledge base explaining cognitive/sentiment scores
🤖 Does it include automation?
Yes — automated attention prediction, auto-scored creative diagnostics (e.g., brand attention/visibility), and one-click guidance to tweak layouts, hierarchy, and copy prior to spend.
💰 Pricing Model:
Quote-based subscriptions for different business sizes (Small/Medium/Enterprise). Public self-serve pricing isn’t listed on the site; plans are provided on request.
🆓 Free Plan Details:
No explicit free plan is advertised on the official site; access typically starts via demo/quote. (Some third-party directories list prices, but official pricing remains request-only.)
💳 Paid Plan Details:
Tiered, custom quotes; commonly includes unlimited or high-volume analyses, advanced metrics/reporting, and API/integrations depending on tier. (Exact inclusions vary by contract.)
🧭 Access Method:
• Web app for uploading creatives (images/videos) and getting heatmaps, scores, and recommendations
• Sales-assisted onboarding; API/integration options referenced in product materials/support docs
🔗 Experience Link: